Twitter scraping with data validation by pydantic.
pip install twitter-openapi-python
import json
import datetime
from pathlib import Path
from tweepy_authlib import CookieSessionUserHandler
from twitter_openapi_python import TwitterOpenapiPython
# login by tweepy_authlib
if Path("cookie.json").exists():
with open("cookie.json", "r") as f:
cookies_dict = json.load(f)
else:
auth_handler = CookieSessionUserHandler(
screen_name=input("screen_name: "),
password=input("password: "),
)
cookies_dict = auth_handler.get_cookies().get_dict()
# get client from cookies
𝕏 = TwitterOpenapiPython().get_client_from_cookies(cookies=cookies_dict)
# tweet "Hello World!!" with current time
time = datetime.datetime.now().strftime("%Y-%m-%dT%H:%M:%SZ")
𝕏.get_post_api().post_create_tweet(tweet_text=f"Hello World!!{time}")
# get user info
response = 𝕏.get_user_api().get_user_by_screen_name("elonmusk")
from twitter_openapi_python import TwitterOpenapiPython
# guest client
𝕏 = TwitterOpenapiPython().get_guest_client()
tweet = 𝕏.get_default_api().get_tweet_result_by_rest_id("1349129669258448897")
assert tweet.data is not None
assert tweet.data.tweet.legacy is not None
print(tweet.data.tweet.legacy.full_text)